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Customer Satisfaction Index PDF

This document discusses the Customer Satisfaction Index (CSI), which is a theoretically robust weighted satisfaction measure used for benchmarking and tracking customer satisfaction over time. The CSI uses existing customer satisfaction drivers and attributes in a hierarchical approach to measure relationships between items. It combines driver, attribute, and operational components. Benefits of the CSI include using existing satisfaction data, choice-based measurement, accounting for scale issues, providing a weighted index, linking operations to satisfaction, and decision support capabilities.

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0% found this document useful (0 votes)
151 views7 pages

Customer Satisfaction Index PDF

This document discusses the Customer Satisfaction Index (CSI), which is a theoretically robust weighted satisfaction measure used for benchmarking and tracking customer satisfaction over time. The CSI uses existing customer satisfaction drivers and attributes in a hierarchical approach to measure relationships between items. It combines driver, attribute, and operational components. Benefits of the CSI include using existing satisfaction data, choice-based measurement, accounting for scale issues, providing a weighted index, linking operations to satisfaction, and decision support capabilities.

Uploaded by

fazado
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Customer Satisfaction Index (CSI)

January 2014

• Educating Professionals • Creating and Applying Knowledge • Engaging our Communities


CSI is a theoretically robust weighted
Introduction satisfaction measure for benchmarking and
tracking customer satisfaction over time

Identify the most important


services you provide to your
customers

Measure how satisfied


customers currently are with
each of these services

Perform ‘what if’ scenarios


based on hypothesised
improvements to service levels
CSI uses existing customer satisfaction
CSI Overview drivers / attributes and applies a
hierarchical approach to measure the
relationships between the items
The index is a combination of three
components:
1) The driver component measures the
importance of each service driver to
overall satisfaction
2) (optional) The attribute component
measures the importance of each
service driver attribute within a service
driver
3) (optional) The operational component
allows us to measure satisfaction as a
function of operational measures. This
function links changes in operational
performance to changes in satisfaction
with the service driver attributes, which
in turn feed into overall satisfaction
Developing i4C has considerable experience with what
we call a “Report Card” approach to
the CSI designing trade-off experiments

• The tasks are based on


comparison of a respondent’s
current satisfaction rating profile
and hypothetical (new)
satisfaction rating profiles

• The respondent is simply asked


whether their profile or the new
profile would be more satisfactory
to them.

• This forces the respondent to


consider how much each service
driver / attribute matters to them
and their choices reveal their
“weights”
Outputs - The dashboard is custom tailored to the
project outcomes and allows stakeholders
Dashboard to perform ‘what if’ scenario analysis

The final product is a dashboard


which stakeholders can use to
quickly understand the initiatives
that will provide the greatest
improvement in overall customer
satisfaction, including breakdowns
for socio-demographic segments
and other customer groups
CSI addresses many of the weaknesses
Benefits associated with standard customer
satisfaction measurement

1. Uses existing customer • No changes to current customer satisfaction survey measures


satisfaction measures • Can use previously collected customer satisfaction data in CSI

2. Choice based • Appropriate trade-off technique that derives weights from choices
• Statistical methods used for modelling are based on underlying
measurement behavioural theory
• Carefully constructed experiment allows for independent
measurement of the relationships between the drivers / attributes
and overall satisfaction

3. Accounts for problems • Does not treat each scale item as equal or linear - e.g., a score of 7
(very satisfied) is not treated the same as a score of 6 (satisfied)
with scales

• Weighted results take into account the importance of each attribute


4. Is a weighted index • Weighted results allow for relationships between the attributes,
they do not assume each attribute is independent
CSI addresses many of the weaknesses
Benefits associated with standard customer
satisfaction measurement

5. Index for each customer • Weighted index can be calculated for every individual customer
• Distributions can be viewed and used for segmentation

6. Links operations to • Operations can be linked to the scale so management are aware of
what it would take (operationally) to change satisfaction scores
satisfaction

• CSI is not a static measure


7. Decision Support System • Management can use the DSS to perform ‘what if’ scenarios

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